Saturday, August 1, 2020
Multilevel analyses in PLS-SEM: Article, video, and sample dataset
The article below explains how one can conduct a multilevel analysis, in the context of structural equation modeling via partial least squares (PLS-SEM).
Kock (2020). Multilevel analyses in PLS-SEM: An anchor-factorial with variation diffusion approach. Data Analysis Perspectives Journal, 1(2), 1-6.
A link to a PDF file is available ().
Abstract:
A multilevel analysis, in the context of structural equation modeling via partial least squares (PLS-SEM), can be seen as an analysis in which: (a) data is collected at the individual level from multiple groups, and (b) group membership is expected to influence data analysis results. In this paper we illustrate such an analysis employing WarpPLS, a leading PLS-SEM software tool. The analysis employs an anchor-factorial with variation diffusion approach.
The short video linked below provides an overview on how to conduct multilevel analyses in PLS-SEM.
https://youtu.be/pNXI1Cz-Qkk
Finally, the site below provides a sample dataset: "Job performance in three companies dataset". This dataset is available under the "Resources" area.
https://warppls.com
Enjoy!
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5 comments:
Greeting, Prof.
I just found your interesting blog and youtube.
I'm a student (in Indonesia) that will be conducting a multilevel analysis with 2 predictors in level 1 (individual) and level 2 (organizational) with the outcome in level 2 (organizational). With this situation, could I be using PLS-SEM, too? I've read your paper also, but the ilustrative model has the level 1 (individual)-outcome.
Would you mind to make the tutorial video for this different model?
I do hope to get help from you, Prof.
Thanking you in advance
(Pinjung Nawang Sari)
Yes, I believe you could, by adapting the procedure to your situation.
Thank you so much for your answer, Professor, I feel relieved.
If I may ask for another question, what is the rule of thumb in sample size, using PLS-SEM?
You're welcome. On sample size, see:
https://warppls.blogspot.com/search/label/minimum%20sample%20size
Well noted, Professor.
Thank you again for your fast response and very kind help.
GOD bless you and have a great day!
(Pinjung Nawang Sari)
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